Difference between revisions of "Michael DeWeese"

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'''Publications:'''
 
'''Publications:'''
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*37. S.E. Marzen, M.R. DeWeese, and J.P. Crutchfield, Time Resolution Dependence of Information Measures for Spiking Neurons: Scaling and Universality. Frontiers in Computational Neuroscience (in press) Manuscript ID: 148150 (2015).
  
 
*36. V.M. Carels and M.R. DeWeese. [https://redwood.berkeley.edu/w/images/b/b2/Carels_DeWeese_Neuron_Preview_Duan_et_al_2015_reprint.pdf Rats Exert Executive Control.] Neuron 86, pp. 1324-1326 (2015).
 
*36. V.M. Carels and M.R. DeWeese. [https://redwood.berkeley.edu/w/images/b/b2/Carels_DeWeese_Neuron_Preview_Duan_et_al_2015_reprint.pdf Rats Exert Executive Control.] Neuron 86, pp. 1324-1326 (2015).
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*33. C.C. Rodgers and M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/c/c5/Rodgers_and_DeWeese_rodent_auditory_stim_selection_A1_PFC_Neuron_2014_w_Sup_Info.pdf Neural correlates of task switching in prefrontal cortex and primary auditory cortex in a novel stimulus selection task for rodents.] Neuron, 82(5), p1157–1170. (2014).  ([https://redwood.berkeley.edu/w/images/6/6e/Odoemene_and_Churchland_Neuron_Preview_of_Rodgers_and_DeWeese_2014.pdf Neuron Preview of this paper by Odoemene and Churchland])
 
*33. C.C. Rodgers and M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/c/c5/Rodgers_and_DeWeese_rodent_auditory_stim_selection_A1_PFC_Neuron_2014_w_Sup_Info.pdf Neural correlates of task switching in prefrontal cortex and primary auditory cortex in a novel stimulus selection task for rodents.] Neuron, 82(5), p1157–1170. (2014).  ([https://redwood.berkeley.edu/w/images/6/6e/Odoemene_and_Churchland_Neuron_Preview_of_Rodgers_and_DeWeese_2014.pdf Neuron Preview of this paper by Odoemene and Churchland])
  
*32. J. Sohl-Dickstein, M. Mudigonda, M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/a/a3/Sohl-Dickstein_Mudigonda_DeWeese_LAHMC_icml2014_final_reprint.pdf Hamiltonian Monte Carlo Without Detailed Balance.] Proceedings of the 31st International Conference on Machine Learning (Beijing) (2014).
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*32. J. Sohl-Dickstein, M. Mudigonda, and M.R. DeWeese.  [https://redwood.berkeley.edu/w/images/a/a3/Sohl-Dickstein_Mudigonda_DeWeese_LAHMC_icml2014_final_reprint.pdf Hamiltonian Monte Carlo Without Detailed Balance.] Proceedings of the 31st International Conference on Machine Learning (Beijing) (2014).
  
 
*31. P.R. Zulkowski, D.A. Sivak, and M.R. DeWeese. [https://redwood.berkeley.edu/w/images/a/a4/Zulkowski_Sivak_DeWeese_Optimal_Transitions_Nonequil_Steady_States_PLOS1_2013_accepted.pdf Optimal control of transitions between nonequilibrium steady states.] Public Library of Science ONE. 8(12):e82754 (2013).
 
*31. P.R. Zulkowski, D.A. Sivak, and M.R. DeWeese. [https://redwood.berkeley.edu/w/images/a/a4/Zulkowski_Sivak_DeWeese_Optimal_Transitions_Nonequil_Steady_States_PLOS1_2013_accepted.pdf Optimal control of transitions between nonequilibrium steady states.] Public Library of Science ONE. 8(12):e82754 (2013).

Revision as of 04:29, 31 July 2015

Here is my short CV and below is my publication list. Most papers are available here as PDFs.


Publications:

  • 37. S.E. Marzen, M.R. DeWeese, and J.P. Crutchfield, Time Resolution Dependence of Information Measures for Spiking Neurons: Scaling and Universality. Frontiers in Computational Neuroscience (in press) Manuscript ID: 148150 (2015).
  • 23. J. Sohl-Dickstein, P. Battaglino, and M.R. DeWeese. Minimum Probability Flow Learning. Proceedings of the 28th International Conference on Machine Learning (Bellevue, WA) (2011).
  • 11. M.R. DeWeese and A.M. Zador. Binary coding in auditory cortex. In Advances in Neural Information Processing Systems. MIT Press, Cambridge, MA, Vol. 15, 101 (2003).
  • 5. M.R. DeWeese. Optimization principles for the neural code. Network 7, 325-331 (1996).